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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26567

Title: Dark matter dynamics in Abell 3827: new data consistent with standard cold dark matter
Authors: Massey, Richard
Harvey, David
Liesenborgs, Jori
Richard, Johan
Stach, Stuart
Swinbank, Mark
Taylor, Peter
Williams, Liliya
Clowe, Douglas
Courbin, Frederic
Edge, Alastair
Israel, Holger
Jauzac, Mathilde
Joseph, Remy
Jullo, Eric
Kitching, Thomas D.
Leonard, Adrienne
Merten, Julian
Nagai, Daisuke
Nightingale, James
Robertson, Andrew
Romualdez, Luis Javier
Saha, Prasenjit
Smit, Renske
Tam, Sut-Ieng
Tittley, Eric
Issue Date: 2018
Citation: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 477(1), p. 669-677
Abstract: We present integral field spectroscopy of galaxy cluster Abell 3827, using Atacama Large Millimetre Array (ALMA) and Very Large Telescope/Multi-Unit Spectroscopic Explorer. It reveals an unusual configuration of strong gravitational lensing in the cluster core, with at least seven lensed images of a single background spiral galaxy. Lens modelling based on Hubble Space Telescope imaging had suggested that the dark matter associated with one of the cluster's central galaxies may be offset. The new spectroscopic data enable better subtraction of foreground light, and better identification of multiple background images. The inferred distribution of dark matter is consistent with being centred on the galaxies, as expected by A cold dark matter. Each galaxy's dark matter also appears to be symmetric. Whilst, we do not find an offset between mass and light (suggestive of self-interacting dark matter) as previously reported, the numerical simulations that have been performed to calibrate Abell 3827 indicate that offsets and asymmetry are still worth looking for in collisions with particular geometries. Meanwhile, ALMA proves exceptionally useful for strong lens image identifications.
Notes: Massey, R (reprint author), Univ Durham, Inst Computat Cosmol, South Rd, Durham DH1 3LE, England. r.j.massey@durham.ac.uk
URI: http://hdl.handle.net/1942/26567
DOI: 10.1093/mnras/sty630
ISI #: 000432660300047
ISSN: 0035-8711
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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